The Los Angeles Smart Grid Project aims to use informatics techniques
to bring about a quantum leap in the way demand response load optimization
is performed in utilities. Semantic information integration, from
sources as diverse as Internet-connected smart meters and social
networks, is a linchpin to support the advanced analytics and mining
algorithms required for this. In association with it, semantic complex
event processing system will allow consumer and utility managers
to easily specify and enact energy policies continuously. We present
the information systems architecture for the project that is under
development, and discuss research issues that emerge from having
to design a system that supports 1.4 million customers and a rich
ecosystem of Smart Grid applications from users, third party vendors,
the utility and regulators.
%0 Book Section
%1 Simmhan:greenit:2011
%A Simmhan, Yogesh
%A Zhou, Qunzhi
%A Prasanna, Viktor K.
%D 2011
%E Kim, Jae H.
%E Lee, Myung J.
%I Springer Berlin Heidelberg
%K grid, information integration, peer reviewed semantic, smart usc,
%P 361--380
%R 10.1007/978-3-642-22179-8_19
%T Green IT: Technologies and Applications
%U http://ceng.usc.edu/~simmhan/pubs/simmhan-greenit-2011.pdf
%X The Los Angeles Smart Grid Project aims to use informatics techniques
to bring about a quantum leap in the way demand response load optimization
is performed in utilities. Semantic information integration, from
sources as diverse as Internet-connected smart meters and social
networks, is a linchpin to support the advanced analytics and mining
algorithms required for this. In association with it, semantic complex
event processing system will allow consumer and utility managers
to easily specify and enact energy policies continuously. We present
the information systems architecture for the project that is under
development, and discuss research issues that emerge from having
to design a system that supports 1.4 million customers and a rich
ecosystem of Smart Grid applications from users, third party vendors,
the utility and regulators.
%& Semantic Information Integration for Smart Grid Applications
%@ 978-3-642-22179-8
@inbook{Simmhan:greenit:2011,
abstract = {The Los Angeles Smart Grid Project aims to use informatics techniques
to bring about a quantum leap in the way demand response load optimization
is performed in utilities. Semantic information integration, from
sources as diverse as Internet-connected smart meters and social
networks, is a linchpin to support the advanced analytics and mining
algorithms required for this. In association with it, semantic complex
event processing system will allow consumer and utility managers
to easily specify and enact energy policies continuously. We present
the information systems architecture for the project that is under
development, and discuss research issues that emerge from having
to design a system that supports 1.4 million customers and a rich
ecosystem of Smart Grid applications from users, third party vendors,
the utility and regulators.},
added-at = {2014-08-13T04:08:36.000+0200},
author = {Simmhan, Yogesh and Zhou, Qunzhi and Prasanna, Viktor K.},
biburl = {https://www.bibsonomy.org/bibtex/29fbeb0df75699ea4d7e3f6e109b33a77/simmhan},
chapter = {Semantic Information Integration for Smart Grid Applications},
doi = {10.1007/978-3-642-22179-8_19},
editor = {Kim, Jae H. and Lee, Myung J.},
interhash = {7d86097de65461e04fc0e0a35262751c},
intrahash = {9fbeb0df75699ea4d7e3f6e109b33a77},
isbn = {978-3-642-22179-8},
keywords = {grid, information integration, peer reviewed semantic, smart usc,},
owner = {Simmhan},
pages = {361--380},
publisher = {Springer Berlin Heidelberg},
timestamp = {2014-08-13T04:08:36.000+0200},
title = {Green IT: Technologies and Applications},
url = {http://ceng.usc.edu/~simmhan/pubs/simmhan-greenit-2011.pdf},
year = 2011
}